Democratizing AI with Multi-Agent Architectures
Multi-agent systems offer a compelling pathway to disrupt AI by distributing intelligence across numerous entities. This model contrasts with traditional centralized AI, where a single model interprets data. In multi-agent systems, decentralized agents communicate to achieve collective goals, exploiting the insights of the aggregate intelligence. T